Advertisement

Light Scattering and Particle Charge Techniques for the Detection of Biological Warfare Agents

  • James M. Clark
Chapter
Part of the Integrated Analytical Systems book series (ANASYS)

Abstract

To be fully effective a biological point detection system must be capable of reliably detecting the presence of a potentially dangerous aerosol immediately it reaches the detection site. This first detection can then be succeeded by sequential analysis techniques that confirm that it is biological, deliberately generated and finally identify the agent being used.

Keywords

Measurement Space Aerosol Particle Atmospheric Aerosol Scattered Field Asymmetry Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Aptowicz, K.B., Pinnick, R.G., Hill, S.C., Pan, Y.L. and Chang, R.K., 2006, Optical scattering patterns from single urban aerosol particles at Adelphi, Maryland, USA: a classification relating to particle morphologies, J Geophys Res 111, D12212.Google Scholar
  2. 2.
    Bohren, C.F. and Huffman, D.R., 1983, Absorption and scattering of light by small particles, Wiley, New York.Google Scholar
  3. 3.
    Dick, W.D., Ziemann, P.J., Huang, P.F. and McMurray, P.H., 1998, Optical shape fraction measurement of submicrometre laboratory and atmospheric aerosols, Meas Sci Technol 9(2):183–196.Google Scholar
  4. 4.
    Flagan, R.C., 1998, History of electrical aerosol measurements, Aerosol Sci Tech 5, 1–2.Google Scholar
  5. 5.
    Gucker, F.T. and Rowell, R.L., 1960, The angular variation of light scattered from single dioctyl phthalate aerosol droplets, Discuss. Faraday Soc 30(185).Google Scholar
  6. 6.
    Hirst, E., Kaye, P.H. and Guppy, J.R., 1994, Light scattering from non-spherical airborne particles: experimental and theoretical comparisons, Appl Optics 33(30): 7180–7186.Google Scholar
  7. 7.
    Hoppel, W.A. and Frick, G.M., 1986, Ion-aerosol attachment coefficients and the steady state charge distribution on aerosols in a bipolar environment, Aerosol Sci Tech 5:1–21.Google Scholar
  8. 8.
    Kaye, P.H., Eyles, N.A., Ludlow, I.K. and Clark, J.M. 1991, An instrument for the classification of airborne particles on the basis of shape, size and count frequency. Atmos Environ 25(3–4): 645–654.Google Scholar
  9. 9.
    Kaye, P.H., Hirst, E., Ludlow, I.K., Clark, J.M. and Micheli, F., 1992, Airborne particle shape and size classification from spatial light scattering profiles. J Aerosol Sci 23(6): 597–611.Google Scholar
  10. 10.
    Kaye, P.H., Alexander-Buckley, K., Hirst, E. and Saunders, S., 1996, A real-time monitoring system for airborne particle shape and size analysis. J. Geophys Res-Atmos 101 (D14): 19215–19221.Google Scholar
  11. 11.
    Kerker, M., 1997, Light scattering instrumentation for aerosol studies: An historical overview, Aerosol Sci Tech 27: 522–540.Google Scholar
  12. 12.
    Mie, G., 1908, Considerations on the optics of turbid media, especially colloidal metal sols Ann.d. Physik 25: 377–442.Google Scholar
  13. 13.
    Pan, Y.L., Aptowicz, K.B., Chang, R.K., Hart, M. and Eversole, J.D. 2003, Characterising and monitoring respiratory aerosols by light scattering, Opt Lett 28(8): 589–591.Google Scholar
  14. 14.
    Sachweh, B.A., Dick, W.D. and McMurray, P.H., 1995, Distinguishing between spherical and non-spherical particles by measuring the variability in azimuthal light scattering. Aerosol Sci Tech 23: 373–391.Google Scholar
  15. 15.
    Whitby, K.T. and Liu, B.Y.H., 1966, The electrical behaviour of aerosols, in Aerosol Science, editor Davies C.N., Academic Press.Google Scholar

Copyright information

© Springer-Verlag New York 2014

Authors and Affiliations

  1. 1.SalisburyUK

Personalised recommendations